Last June, the White House issued a set of proposals to reform and reorganize government functions in dozens of executive branch agencies. The proposals range from cosmetic (e.g., renaming the Department of Health and Human Services) to substantial (e.g., combining the Departments of Labor and Education) with significant implications for domestic and foreign policy, as well as for national security.
A memorandum prepared by the Congressional Research Service provides brief summaries and analyses of the most important proposals, assessing their feasibility and describing the uncertainties involved. See Trump Administration Reform and Reorganization Plan: Discussion of 35 “Government-Wide” Proposals, CRS memorandum, July 25, 2018.
New and updated reports issued by the Congressional Research Service last week include the following.
Air Force B-21 Raider Long Range Strike Bomber, updated October 12, 2018
Religious Intolerence [sic] in Indonesia, CRS In Focus, October 10, 2018
Post-election Issues in Bosnia and Herzegovina, CRS Insight, October 11, 2018
Hurricane Michael: Brief Overview of FEMA Programs and Resources, CRS Insight, updated October 11, 2018
Temporary Protected Status: Overview and Current Issues, updated October 10, 2018
Vehicle Fuel Economy and Greenhouse Gas Standards, CRS In Focus, updated October 11, 2018
Expiration of the 2014 Farm Bill, October 11, 2018
House Passes Bill to Amend the Federal “Crime of Violence” Definition, CRS Legal Sidebar, October 11, 2018
Deference and its Discontents: Will the Supreme Court Overrule Chevron?, CRS Legal Sidebar, October 11, 2018
Commercial artificial intelligence tools have recently emerged that are able to produce police reports. If the resulting reports are inaccurate, incomplete or biased, or if the process leaks confidential information, this could undermine the criminal justice system and harm citizens.
Too often, affected patients, clinicians, and regulators cannot see how the system works, why a decision was made, or whether meaningful human oversight occurred.
Existing tools from other domains, such as existing robust public engagement processes in drug development, when applied to AI deployment can help strengthen public trust in these systems and enhance perceptions of their legitimacy and the decisions they produce.
With thoughtful policy action, it is still possible to build systems that are fair, transparent, and accountable, and to earn the public trust that will ultimately determine AI’s future. We hope policymakers are ready to act.